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title
RamBoAttack Against Deep Neural Network
description
A decision-based dense attack
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RamBoAttack.github.io
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2026-01-16 13:38:53
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RamBoAttack Against Deep Neural Network | RamBoAttack.github.io Skip to the content. RamBoAttack Against Deep Neural Network A decision-based dense attack RamBoAttack Against Deep Neural Network Reproduce our results: GitHub Check out our paper: RamBoAttack: A Robust Query Efficient Deep Neural Network Decision Exploit Cite our research: @inproceedings{Vo2022, title = {RamBoAttack: A Robust Query Efficient Deep Neural Network Decision Exploit}, year = {2022}, journal = {Network and Distributed Systems Security (NDSS) Symposium}, author = {Viet Quoc Vo, Ehsan Abbasnejad, Damith C. Ranasinghe}, } ABSTRACT Machine learning models are critically susceptibleto evasion attacks from adversarial examples. Generally, ad-versarial examples—modified inputs deceptively similar to the original input—are constructed under whitebox access settings by adversaries with full access to the model. However, recent attacks have shown ...
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